Path-Following Control with Path and Orientation Snap-In

被引:1
|
作者
Hartl-Nesic, Christian [1 ]
Pritzi, Elias [1 ]
Kugi, Andreas [1 ,2 ]
机构
[1] TU Wien, Automat & Control Inst, Vienna, Austria
[2] AIT Austrian Inst Technol GmbH, Vienna, Austria
关键词
VIRTUAL FIXTURES; ROBOT;
D O I
10.1109/IROS55552.2023.10341392
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Robots need to be as simple to use as tools in a workshop and allow non-experts to program, modify and execute tasks. In particular for repetitive tasks in high-mix/low-volume production, robotic support and physical human-robot interaction (pHRI) help to significantly increase productivity. In path-following control (PFC), the geometric description of the path is decoupled from the time evolution of the robot's end-effector along the path. PFC is inherently suitable for pHRI since path progress can be derived from the interaction with the human. In this work, an extension to multi-path PFC is proposed, which allows smooth transitions between the paths initiated by the human. Additionally, two pHRI modes called path snap-in and orientation snap-in are proposed, which use attractive forces to snap the robot end-effector onto a path or a predefined orientation. Moreover, the stability properties of PFC are inherited and the method is applicable to linear, nonlinear and self-intersecting paths. The proposed pHRI modes are validated on an experimental drilling task for teach-in (using orientation snap-in) and execution (using path snap-in) with the kinematically redundant collaborative robot KUKA LBR iiwa 14 R820.
引用
下载
收藏
页码:2316 / 2323
页数:8
相关论文
共 50 条
  • [1] Nonlinear path-following control of an AUV
    Lapierre, Lionel
    Soetanto, Didik
    OCEAN ENGINEERING, 2007, 34 (11-12) : 1734 - 1744
  • [2] Optimization and path-following
    Vickers, D
    Lee, M
    Butavicius, M
    PROCEEDINGS OF THE NINETEENTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 1997, : 1080 - 1080
  • [3] Constrained path-following control for an airship with uncertainties
    Zheng, Zewei
    Guan, Zhiyuan
    Ma, Yunpeng
    Zhu, Bing
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 85 : 295 - 306
  • [4] Path-Following Guidance Using Model Predictive Path Integral Control
    Jeong, Eui-Taek
    Lee, Chang-Hun
    PROCEEDINGS OF THE 2021 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY (APISAT 2021), VOL 2, 2023, 913 : 313 - 326
  • [5] Nonlinear maneuvering theory and path-following control
    Fossen, Thor I.
    MARINE TECHNOLOGY AND ENGINEERING, VOL 1, 2011, : 445 - 460
  • [6] ADRC path-following control of underactuated AUVs
    Wan, Lei
    Zhang, Ying-Hao
    Sun, Yu-Shan
    Li, Yue-Ming
    He, Bin
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2014, 48 (12): : 1727 - 1731
  • [7] Path-Following Steering Control for Articulated Vehicles
    Jujnovich, B. A.
    Cebon, D.
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2013, 135 (03):
  • [8] Path-Following Model Predictive Control of Ballbots
    Jespersen, Thomas K.
    al Ahdab, Mohammad
    Mendez, Juan de Dios F.
    Damgaard, Malte R.
    Hansen, Karl D.
    Pedersen, Rasmus
    Bak, Thomas
    2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 1498 - 1504
  • [9] Path-Following through Control Funnel Functions
    Ravanbakhsh, Hadi
    Aghli, Sina
    Heckman, Christoffer
    Sankaranarayanan, Sriram
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 401 - 408
  • [10] Robust Nonlinear Path-Following Control of an AUV
    Lapierre, Lionel
    Jouvencel, Bruno
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2008, 33 (02) : 89 - 102